Publications

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[ Author(Asc)] Title Type Year
J
Jahangir, M. S. , You, J. , & Quilty, J. . (2023). A quantile-based encoder-decoder framework for multi-step ahead runoff forecasting. Journal of Hydrology, 619, 129269. Retrieved from https://www.sciencedirect.com/science/article/pii/S0022169423002111
Jahangir, M. Sina, Biazar, S. Mostafa, Hah, D. , Quilty, J. , & Isazadeh, M. . (2022). Investigating the impact of input variable selection on daily solar radiation prediction accuracy using data-driven models: a case study in northern Iran. Stochastic Environmental Research and Risk Assessment, 36(1), 225-249. Retrieved from https://link.springer.com/article/10.1007/s00477-021-02070-5
Jahangir, M. Sina, & Quilty, J. . (2021). Improving hydrological forecasts through temporal hierarchal reconciliation. EGU General Assembly 2021. Retrieved from https://meetingorganizer.copernicus.org/EGU21/EGU21-13303.html
G
Goyal, M. Kumar, Bharti, B. , Quilty, J. , Adamowski, J. , & Pandey, A. . (2014). Modeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS. Expert systems with applications, 41, 5267–5276. Elsevier.
Ghaemi, A. , Rezaie-Balf, M. , Adamowski, J. , Kisi, O. , & Quilty, J. . (2019). On the applicability of maximum overlap discrete wavelet transform integrated with MARS and M5 model tree for monthly pan evaporation prediction. Agricultural and Forest Meteorology, 278, 107647. Elsevier.
D
Deo, R. C. , Downs, N. , Parisi, A. V. , Adamowski, J. F. , & Quilty, J. M. . (2017). Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle. Environmental research, 155, 141–166. Academic Press.
Deo, R. C. , Tiwari, M. K. , Adamowski, J. F. , & Quilty, J. M. . (2017). Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model. Stochastic environmental research and risk assessment, 31, 1211–1240. Springer Berlin Heidelberg.
C
Ciupak, M. , Ozga-Zielinski, B. , Adamowski, J. , Quilty, J. , & Khalil, B. . (2015). The application of dynamic linear bayesian models in hydrological forecasting: varying coefficient regression and discount weighted regression. Journal of Hydrology, 530, 762–784. Elsevier.
B
Boucher, M. - A. , Quilty, J. , & Adamowski, J. . (2020). Data assimilation for streamflow forecasting using extreme learning machines. Water Resources Research, 56, e2019WR026226.
Boucher, M. - A. , Quilty, J. , & Adamowski, J. . (2017). Hydrological data assimilation using Extreme Learning Machines. In EGU General Assembly Conference Abstracts (Vol. 19, p. 5722).
Belayneh, A. , Adamowski, J. , Khalil, B. , & Quilty, J. . (2016). Coupling machine learning methods with wavelet transforms and the bootstrap and boosting ensemble approaches for drought prediction. Atmospheric research, 172, 37–47. Elsevier.
Belayneh, A. , Adamowski, J. , & Khalil, B. . (2013). Forecasting drought via bootstrap and machine learning methods. In CSCE 3rd Specialty Conference on Disaster Prevention and Mitigation.
Barzegar, R. , Adamowski, J. , & Quilty, J. . (2021). Improving Deep Learning hydrological time series modeling using Gaussian Filter preprocessing. EGU General Assembly 2021. Retrieved from https://meetingorganizer.copernicus.org/EGU21/EGU21-1644.html
Barzegar, R. , Razzagh, S. , Quilty, J. , Adamowski, J. , Pour, H. K. , & Booij, M. J. . (2021). Improving GALDIT-based groundwater vulnerability predictive mapping using coupled resampling algorithms and machine learning models. Journal of Hydrology, 598, 126370. Retrieved from https://www.sciencedirect.com/science/article/abs/pii/S0022169421004170
Barzegar, R. , Adamowski, J. , Quilty, J. , & Aalami, M. Taghi. (2020). Using a boundary-corrected wavelet transform coupled with machine learning and hybrid deep learning approaches for multi-step water level forecasting in Lakes Michigan and Ontario. EGU General Assembly Conference Abstracts, 4233. Retrieved from https://scholar.google.ca/scholar?oi=bibs&cluster=8698411343122623888&btnI=1&hl=en
Barzegar, R. , Ghasri, M. , Qi, Z. , Quilty, J. , & Adamowski, J. . (2019). Using Bootstrap ELM and LSSVM Models to Estimate River Ice Thickness in the Mackenzie River Basin in the Northwest Territories, Canada. Journal of Hydrology. Elsevier.
A
Adamowski, J. F. , Quilty, J. , Khalil, B. , & Rathinasamy, M. . (2014). Forecasting Urban Water Demand via Machine Learning Methods Coupled with a Bootstrap Rank-Ordered Conditional Mutual Information Input Variable Selection Method. In AGU Fall Meeting Abstracts.

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